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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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automatic detection, segmentation and classification of sub-canopy archaeological features such as earthworks, burial mounds, walls, etc. – Investigation of interpretable/explainable AI methods, supporting
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29 Aug 2026 Job Information Organisation/Company ARCNL Research Field Engineering » Computer engineering Engineering » Precision engineering Physics » Computational physics Physics » Metrology
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to build and characterise these DNA devices. The project will also explore optimisation methods to improve reliability, scalability, and performance in complex nucleic-acid-based systems. The student will
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) these effects can contribute significantly to local dynamics and their contributions are often under-estimated using global models. Previous work has shown that ionospheric mesoscale flows vary at different
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uncertainty, detect errors, and regulate their behavior accordingly. The PhD project will examine how metacognitive monitoring and regulation develop across different age groups and within individuals over time
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estimated from observed data. The overall aim of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models
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electronic test and measurement equipment, investigation of transient electrical behaviour, comparison of different device designs and fabrication variants, and support for the evaluation of device performance
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methods developed in our laboratory by combining fluorescent viscosity-sensitive probes and confocal/infrared microscopy with mechanical measurements to correlate the microscale of pore interaction
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interest are not directly observable. These may include, for example, ability, attitudes, well-being, or different dimensions of poverty, which instead must be estimated from observed data. The overall aim